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» Removing the Genetics from the Standard Genetic Algorithm
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BMCBI
2010
84views more  BMCBI 2010»
14 years 10 months ago
A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis
Background: The success achieved by genome-wide association (GWA) studies in the identification of candidate loci for complex diseases has been accompanied by an inability to expl...
Benjamin A. Logsdon, Gabriel E. Hoffman, Jason G. ...
PPSN
2004
Springer
15 years 3 months ago
Multi-cellular Development: Is There Scalability and Robustness to Gain?
Evolving large phenotypes remains nowadays a problem due to the combinatorial explosion of the search space. Seeking better scalability and inspired by the development of biologica...
Daniel Roggen, Diego Federici
CEC
2009
IEEE
15 years 4 months ago
Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability
— In this paper, a revised form of Implicit Context Representation Cartesian Genetic Programming is used in the development of a diagnostic tool for the assessment of patients wi...
Stephen L. Smith, Michael A. Lones
ICB
2007
Springer
185views Biometrics» more  ICB 2007»
15 years 4 months ago
Biometric Hashing Based on Genetic Selection and Its Application to On-Line Signatures
We present a general biometric hash generation scheme based on vector quantization of multiple feature subsets selected with genetic optimization. The quantization of subsets overc...
Manuel R. Freire, Julian Fiérrez-Aguilar, J...
ITRE
2005
IEEE
15 years 3 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song